Instructions to use fahminoor/zenmagh-sd1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fahminoor/zenmagh-sd1.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rupeshs/LCM-runwayml-stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fahminoor/zenmagh-sd1.5") prompt = "zenmagh, single glass bottle with white plastic cap, product packshot, bottle only, white seamless background, softbox lighting, crisp edges, realistic, 50mm" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
zenmagh

- Prompt
- zenmagh, single glass bottle with white plastic cap, product packshot, bottle only, white seamless background, softbox lighting, crisp edges, realistic, 50mm
- Negative Prompt
- box, sprayer, atomizer, pump, nozzle, duplicate bottle, watermark, extra labels, hands, people, text artifacts
Model description
herb suplement produc bottle
Trigger words
You should use zenmagh to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for fahminoor/zenmagh-sd1.5
Base model
rupeshs/LCM-runwayml-stable-diffusion-v1-5